The paper represents the results of the intermediate stage of a Ph.D. program exploring an alternative vision system based on an image sensor which would ideally match the characteristics of visual data by the use of spatially adaptive homogeneous low level processing techniques. The work is based on the empirical analysis of simulations of simple analogue resistive networks driven by a linear array of photoreceptors. The feasibility of a homogeneous spatially adaptive space modulated filter is explored and the results of investigations into a dynamic closed loop system are presented.